Image-based modeling of tumor growth combines methods from cancer simulation and
medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas …

A deformable registration method is proposed for registering a normal brain atlas with
images of brain tumor patients. The registration is facilitated by first simulating the tumor …

We propose a method for brain atlas deformation in the presence of large space-occupying
tumors, based on an a priori model of lesion growth that assumes radial expansion of the …

We present a framework for black-box and flexible simulation of soft tissue deformation for
medical imaging and surgical planning applications. Our main motivation in the present …

We propose a new and clinically oriented approach to perform atlas-based segmentation of
brain tumor images. A mesh-free method is used to model tumor-induced soft tissue …

An approach to the deformable registration of three-dimensional brain tumor images to a
normal brain atlas is presented. The approach involves the integration of three components …

A biomechanical model of the brain is presented, using a finite-element formulation.
Emphasis is given to the modeling of the soft-tissue deformations induced by the growth of …

Atlas registration is a recognized paradigm for the automatic segmentation of normal MR
brain images. Unfortunately, atlas-based segmentation has been of limited use in presence …

We present an automatic method to segment brain tissues from volumetric MRI brain tumor
images. The method is based on non-rigid registration of an average atlas in combination …

We propose a method for brain atlas deformation in presence of large space-occupying
tumors or lesions, based on an a priori model of lesion growth that assumes radial …